Irma van Die

5.3k citations
77 papers · 4.3k indexed · 1 hit paper · h-index 38

Impact in

Papers in

Irma van Die

77 papers receiving 4.2k citations

Hit Papers

Printed covalent glycan array for ligand profiling of diverse glycan binding proteins 2004 · 905 citations
9052004202620112018250500750

Peers

Irma van Die
Comparison fields: 5 of 116
  • Endocrinology 700
  • Immunology 1.3k
  • Parasitology 275
  • Molecular Biology 2.8k
  • Immunology and Allergy 221
Replace Maureen E. Taylor with:
Maureen E. Taylor United Kingdom
Partho Ghosh United States
Paul G. Hitchen United Kingdom
Bernd Lepenies Germany
Travis Beddoe Australia
Akio Nomoto Japan
R A Young United States
Olivia Steele‐Mortimer United States
Frank Ebel Germany
Hélène Bierne France
Irma van Die relative to Maureen E. Taylor United Kingdom Maureen E. Taylor's profile →
Citations per field
00.5×1.5×2.4×
Maureen E. Taylor · 1×
Citations per year

Countries citing papers authored by Irma van Die

Since Specialization
Citations

This map shows the geographic impact of Irma van Die's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Irma van Die with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irma van Die more than expected).

Fields of papers citing papers by Irma van Die

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irma van Die. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Irma van Die. The network helps show where Irma van Die may publish in the future.

Co-authors

The 25 scholars most cited alongside Irma van Die, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irma van Die Line = papers co-authored together Irma van Die links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202221
2 20169
3 201188
4 2006220
5 200621
6
Printed covalent glycan array for ligand profiling of diverse glycan binding proteins
Hit paper breakdown →
2004905
7 200485
8 200264
9 200254
10 200044
11 20007
12 199989
13 199985
14 1999179
15 199718
16 199142
17 199117
18 199052
19 199022
20 198626

About Irma van Die

Irma van Die is a scholar working on Endocrinology, Immunology, Biotechnology, Immunology and Allergy and Molecular Biology, having authored 77 papers that have together received 4.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (41 papers), Escherichia coli research studies (18 papers), Galectins and Cancer Biology (16 papers), Carbohydrate Chemistry and Synthesis (16 papers), Bacterial Genetics and Biotechnology (14 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), RNA and protein synthesis mechanisms (9 papers) and Bacteriophages and microbial interactions (8 papers). The work is most often cited by research in Endocrinology (700 citations), Immunology (1.3k citations), Parasitology (275 citations), Molecular Biology (2.8k citations) and Immunology and Allergy (221 citations). Irma van Die has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Hans Bergmans, Richard D. Cummings, Dirk H. van den Eijnden, W. P. M. Hoekstra, Richard Alvarez, Ola Blixt, Hans Bakker, Yvette van Kooyk, Fabio Fazio and David Stevens. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, FEBS Letters, Molecular Microbiology and Journal of Bacteriology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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